On Sun, 22 Oct 2000, dennis roberts wrote:
don ... no wonder students go bananas in statistics ... if we "sink" to
this level of discussion about a formula ... a formula that really has so
little utility ... how much time do we spend on the really important ones?
"(R)eally
At 12:25 AM 10/23/00 -1000, Daniel Blaine wrote:
I'm not sure what you mean by a "no brainer" since I've
"interpreted your interpretations" to suggest that concepts in
and around parameter estimation and hypothesis testing are not
easy ones for our students to
[Apologies if you receive this more than once]
*
* Second *
* CALL FOR PAPERS *
* *
*
I wrote:
I'm preparing some notes for my students on "Why P=0.05?"
I'll post them in the next few days (so I don't end up writing
them twice and piecemeal, to boot!).
I'm writing these notes as I'm teaching, so they are necessarily a
series of first drafts. I don't have time to polish them
Even if the term PBS didn't stick, I would hope that somewhere in a first
course a student would retain the concept that a correlation between gender and
height means the same thing as a difference in mean height for the genders.
This helps lay the foundation for later realizing that ANOVA is a
I remember seeing the same thing a year or so ago on this list. I tried
it for the first time this semester with my "refresher" course in
statistics for a class of incoming graduate students. I tossed a coin a
number of times and reported the result as "heads" each time
irrespective of the actual
while this may be the case ... in general ... for some decisions we make
... we would not even allow this level of snickering to suggest to us that
something is afoul ... whereas for others ... it would not bother us (or
should not) if the chances were larger ...
it all depends ...
At 10:36
Assume that I have observed the following purchase patterns
100100010110111001001{00...0}
where "0" represents no purchase, "1" represents an purchase.
Thus, I have purchase gaps of 2,3,1,0,1,0 ,0,2,2. Assume
further, that the purchase gaps are generated by a single
Poisson process, with mean
Hello
Can you help? I'm doing a couple of stats modules at Napier
University in Edinburgh. One of the questions I have to answer for my
course work relates to the history / origins of my chosen distribution. I
will be discussing the Weibull distribution for my course work. Can you
Jerry Dallal wrote:
[...]
http://www.tufts.edu/~gdallal/pval.htm
http://www.tufts.edu/~gdallal/p05.htm
Thanks for sharing these links. However, a lot of URSs on the "Little
Handbook of Statistical Practice" website
(http://www.tufts.edu/~gdallal/LHSP.HTM) have broken links to image
files.
Here are a couple of more recent articles on the issue in the emails below,
usually referred to as the inverse regression or calibration problem. The
second reference is a good review to get you started...
1. Cheng, C. L. and Van Ness, J. W. Robust Calibration. Technometrics.
1997;
Petr Kuzmic wrote:
Jerry Dallal wrote:
[...]
http://www.tufts.edu/~gdallal/pval.htm
http://www.tufts.edu/~gdallal/p05.htm
Thanks for sharing these links. However, a lot of URSs on the "Little
Handbook of Statistical Practice" website
(http://www.tufts.edu/~gdallal/LHSP.HTM) have
One of the original questions on this thread had to do with the origin of the
".05" cutoff. I suggested that if naive subjects were placed in a situation in
which they had to detect whether a coin was fair or not, it would correspond
closely to the commonly used .05 level. I just did it with 65
In article [EMAIL PROTECTED],
Robert J. MacG. Dawson [EMAIL PROTECTED] wrote:
[EMAIL PROTECTED] wrote (in part):
I'm saying that the entire concept of practical significance is not only
subjective, but limited to the extent of current knowledge. You may
regard a 0.01% effect at this point
Herman Rubin wrote:
and until recently,
scientists believed that their models could be exactly right.
but, as you wrote in another context
--
3 Oct 1998 08:07:23 -0500;
Message-ID:6v57ib$[EMAIL PROTECTED]
"Normality is rarely a tenable hypothesis. Its usefulness as a means
of
(on the subject of point-biserial correlation)
On Mon, 23 Oct 2000 09:57:42 -0400, Art Kendall
[EMAIL PROTECTED] wrote:
Even if the term PBS didn't stick, I would hope that somewhere in a first
course a student would retain the concept that a correlation between gender and
height means the
Jerry Dallal posted an interesting web page about p-values:
http://www.tufts.edu/~gdallal/pval.htm
and I have a few comments about this page and the discussion about
significance testing on edstat-l.
First, it is pretty clear to all of us that the p-value does not answer any
questions about
On 23 Oct 2000 11:20:18 -0700, [EMAIL PROTECTED] (GEORGE
FULTON) wrote:
"Can you help? I'm doing a couple of stats modules
at Napier University in Edinburgh. One of the questions I have to
answer for my course work relates to the history / origins of my
chosen distribution. I will be
Jerry Dallal wrote:
I have a note from Frank Anscombe in my files. It says, "Cardano.
See the bit from "De Vita Propria" at the head of Chap. 6 of FN
David's "Games, Gods, and Gambling (1962). That shows that the idea
of a test of significance, informally described, is very ancient."
I
burt [EMAIL PROTECTED] wrote:
It seems like I read once that a characteristic of a
Poisson arrival pattern at a waiting line facility is that
there will be long periods of no or few arrivals followed
by periods of many arrivals. Can anyone refer me to a
reference that discusses this
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